{"id":"https://openalex.org/W2994518979","doi":"https://doi.org/10.5604/01.3001.0013.6161","title":"Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation","display_name":"Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation","publication_year":2019,"publication_date":"2019-09-30","ids":{"openalex":"https://openalex.org/W2994518979","doi":"https://doi.org/10.5604/01.3001.0013.6161","mag":"2994518979"},"language":"en","primary_location":{"id":"doi:10.5604/01.3001.0013.6161","doi":"https://doi.org/10.5604/01.3001.0013.6161","is_oa":true,"landing_page_url":"https://doi.org/10.5604/01.3001.0013.6161","pdf_url":null,"source":{"id":"https://openalex.org/S2764754495","display_name":"Archives of Transport","issn_l":"0866-9546","issn":["0866-9546","2300-8830"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310317397","host_organization_name":"Index Copernicus International S.A.","host_organization_lineage":["https://openalex.org/P4310317397"],"host_organization_lineage_names":["Index Copernicus International S.A."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Archives of Transport","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5604/01.3001.0013.6161","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101801736","display_name":"Xiaohui Lin","orcid":"https://orcid.org/0000-0002-4126-5430","observed_orcids":["https://orcid.org/0000-0002-4126-5430"]},"institutions":[{"id":"https://openalex.org/I4405278436","display_name":"Guangdong Communication Polytechnic","ror":"https://ror.org/001zgc726","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405278436"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Lin","raw_affiliation_strings":["Guangdong Communication Polytechnic, Institute of Rail Traffic, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Communication Polytechnic, Institute of Rail Traffic, Guangzhou, China","institution_ids":["https://openalex.org/I4405278436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974137","display_name":"Jianmin Xu","orcid":"https://orcid.org/0000-0002-8922-8815","observed_orcids":["https://orcid.org/0000-0002-8922-8815"]},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Xu","raw_affiliation_strings":["South China University of Technology, School of Civil Engineering and Transportation, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, School of Civil Engineering and Transportation, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079662497","display_name":"Chengtao Cao","orcid":"https://orcid.org/0009-0005-0822-9648","observed_orcids":["https://orcid.org/0009-0005-0822-9648"]},"institutions":[{"id":"https://openalex.org/I4405278436","display_name":"Guangdong Communication Polytechnic","ror":"https://ror.org/001zgc726","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405278436"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengtao Cao","raw_affiliation_strings":["Guangdong Communication Polytechnic, Institute of Rail Traffic, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Communication Polytechnic, Institute of Rail Traffic, Guangzhou, China","institution_ids":["https://openalex.org/I4405278436"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":350,"currency":"EUR","value_usd":377},"apc_paid":{"value":350,"currency":"EUR","value_usd":377},"fwci":0.3466,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.53725216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"51","issue":"3","first_page":"35","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.008899999782443047,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/macroscopic-fundamental-diagram","display_name":"macroscopic fundamental diagram","score":0.9980000257492065},{"id":"https://openalex.org/keywords/data-fusion","display_name":"data fusion","score":0.8560000061988831},{"id":"https://openalex.org/keywords/loop-detector-data","display_name":"loop detector data","score":0.9210000038146973},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"floating car data","score":1.0},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9010000228881836},{"id":"https://openalex.org/keywords/microscopic-traffic-simulation","display_name":"microscopic traffic simulation","score":0.8019999861717224},{"id":"https://openalex.org/keywords/connected-vehicles","display_name":"connected vehicles","score":0.7369999885559082}],"concepts":[{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6731988191604614},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5821201205253601},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5475847721099854},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5205401182174683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4657018780708313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45829328894615173},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4561977684497833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.387356698513031},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3416908383369446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32721275091171265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25680631399154663},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24039840698242188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18288081884384155},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0760999321937561},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5604/01.3001.0013.6161","doi":"https://doi.org/10.5604/01.3001.0013.6161","is_oa":true,"landing_page_url":"https://doi.org/10.5604/01.3001.0013.6161","pdf_url":null,"source":{"id":"https://openalex.org/S2764754495","display_name":"Archives of Transport","issn_l":"0866-9546","issn":["0866-9546","2300-8830"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310317397","host_organization_name":"Index Copernicus International S.A.","host_organization_lineage":["https://openalex.org/P4310317397"],"host_organization_lineage_names":["Index Copernicus International S.A."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Archives of Transport","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bfb4c79dfd0642feb028a72729903af8","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/bfb4c79dfd0642feb028a72729903af8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Archives of Transport, Vol 51, Iss 3, Pp 35-48 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.5604/01.3001.0013.6161","doi":"https://doi.org/10.5604/01.3001.0013.6161","is_oa":true,"landing_page_url":"https://doi.org/10.5604/01.3001.0013.6161","pdf_url":null,"source":{"id":"https://openalex.org/S2764754495","display_name":"Archives of Transport","issn_l":"0866-9546","issn":["0866-9546","2300-8830"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310317397","host_organization_name":"Index Copernicus International S.A.","host_organization_lineage":["https://openalex.org/P4310317397"],"host_organization_lineage_names":["Index Copernicus International S.A."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Archives of Transport","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7250000238418579,"id":"https://metadata.un.org/sdg/11"},{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W820471982","https://openalex.org/W1546257228","https://openalex.org/W1843419209","https://openalex.org/W1980725841","https://openalex.org/W2027062751","https://openalex.org/W2032519810","https://openalex.org/W2032668704","https://openalex.org/W2034818920","https://openalex.org/W2044273727","https://openalex.org/W2056369022","https://openalex.org/W2074551237","https://openalex.org/W2087871596","https://openalex.org/W2164021503","https://openalex.org/W2490555128","https://openalex.org/W2914931988","https://openalex.org/W2937032869"],"related_works":["https://openalex.org/W2490555128","https://openalex.org/W2567651889","https://openalex.org/W4212947118","https://openalex.org/W2044273727","https://openalex.org/W2806463252","https://openalex.org/W4388017160","https://openalex.org/W4406745305","https://openalex.org/W2896012659","https://openalex.org/W2032519810","https://openalex.org/W7127311126"],"abstract_inverted_index":{"Accurate":[0],"estimation":[1,19,32,40,49,98,116,120,138,182,195,240,262,271,283],"of":[2,10,21,57,70,89,99,110,134,147,161,169,185,198,211,214,223,226,230,250,260,269,279],"macroscopic":[3],"fundamental":[4],"diagram":[5],"(MFD)":[6],"is":[7,154,243,265],"the":[8,27,35,55,67,82,87,106,143,158,162,172,192,205,212,219,227,236,244,247,258,277],"precondition":[9],"MFD\u2019s":[11,107],"application.":[12],"At":[13],"present,":[14],"there":[15,43,76],"are":[16,44,77,234],"two":[17,108,180],"traditional":[18,48],"methods":[20,184],"road":[22,58,71,100,111,135,164,186,199,215,231,251,280],"network\u2019s":[23,216,232],"MFD,":[24],"such":[25],"as":[26,171],"loop":[28],"detector":[29],"data":[30,38,128],"(LDD)":[31],"method":[33,69,95,117,197,264],"and":[34,118,122,141,178,218],"floating":[36],"car":[37],"(FCD)":[39],"method,":[41,121,273],"but":[42,75],"limitations":[45],"in":[46,166,188],"both":[47,235],"methods.":[50],"In":[51],"order":[52,189],"to":[53,104,190,246],"improve":[54,276],"accuracy":[56,278],"network":[59,72,112,127,136,149,165,281],"MFD":[60,73,97,132,181,194,217,233,249,282],"estimation,":[61,74],"a":[62,124],"few":[63],"scholars":[64],"have":[65],"studied":[66],"fusion":[68,94,129,139,183,196,263,272],"still":[78],"some":[79],"shortcomings":[80],"on":[81,86,151],"whole.":[83],"However,":[84],"based":[85,150],"research":[88],"adaptive":[90],"weighted":[91],"averaging":[92],"(AWA)":[93],"for":[96,131],"network,":[101,187],"I":[102],"propose":[103],"use":[105],"parameters":[109,133,213],"obtained":[113],"by":[114,156],"LDD":[115],"FCD":[119],"establish":[123],"back-propagation":[125],"neural":[126],"model":[130,146],"(BPNN":[137],"method),":[140],"then":[142],"micro-traffic":[144],"simulation":[145,173],"connected-vehicle":[148],"Vissim":[152],"software":[153],"established":[155],"taking":[157],"intersection":[159],"group":[160],"core":[163],"Tianhe":[167],"District":[168],"Guangzhou":[170],"experimental":[174],"area,":[175],"finally,":[176],"compared":[177],"analyzed":[179],"determine":[191],"best":[193],"network.":[200,252],"The":[201],"results":[202],"show":[203],"that":[204,257,268],"mean":[206],"absolute":[207,221],"percent":[208],"error":[209],"(MAPE)":[210],"average":[220],"values":[222,225],"difference":[224],"state":[228],"ratio":[229],"smallest":[237],"after":[238],"BPNN":[239,261],"fusion,":[241],"which":[242,274],"closest":[245],"standard":[248],"It":[253],"can":[254,275],"be":[255],"seen":[256],"result":[259],"better":[266],"than":[267],"AWA":[270],"effectively.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2019-12-13T00:00:00"}